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THE CONSCIOUSNESS ATLAS
Read. Experiment. Follow the evidence.

The equation library

Every recovered mathematical record has an individual page. Browse original equations, code expressions, indexed components, parameter definitions, and explicitly unresolved source slots.

2,910 recordsSource snapshot 2026-10-17

Counts refer to mathematical records, including implemented expressions and generated instances. They are not counts of independently validated theories. Exact occurrences and unresolved slots remain traceable. Read the complete 1–516 source index ↗ · Inspect the scan decisions ↗

2,910 records · page 27 of 59Search the source archive ↗

gh-eq-ab5b4dbc19265395

MATHEMATICAL CONSTANTS · rho

This relation defines rho in the source section “MATHEMATICAL CONSTANTS · rho”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or…

Implementation mathematicsSource recovered; runtime not executed

rho = |psi><psi|

gh-eq-565c6c6046f5894a

MATHEMATICAL CONSTANTS · theta

This relation defines theta in the source section “MATHEMATICAL CONSTANTS · theta”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or…

Implementation mathematicsSource recovered; runtime not executed

theta = [L]^n / (Kd^n + [L]^n)

gh-eq-592e8e3114cfaca9

MATHEMATICAL CONSTANTS · v

This relation defines v in the source section “MATHEMATICAL CONSTANTS · v”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive…

Implementation mathematicsSource recovered; runtime not executed

v = Vmax * [S] / (Km + [S])

gh-eq-7c74685deb66cdaf

MATHEMATICAL CONSTANTS · |Z|

This relation defines |Z| in the source section “MATHEMATICAL CONSTANTS · |Z|”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or…

Implementation mathematicsSource recovered; runtime not executed

|Z| = 0: incoherent, |Z| = 1: fully synchronized

gh-eq-3d7a23a6677b470f

MATHEMATICAL VERIFIER · For assignment x := e: wp(x := e, Q)

This relation defines For assignment x : in the source section “MATHEMATICAL VERIFIER · For assignment x := e: wp(x := e, Q)”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record…

Implementation mathematicsSource recovered; runtime not executed

For assignment x := e: wp(x := e, Q) = Q[e/x]

gh-eq-9e9c0725690e8256

MATHEMATICAL VERIFIER · For sequence: wp(S1; S2, Q)

This relation defines For sequence: wp(S1; S2, Q) in the source section “MATHEMATICAL VERIFIER · For sequence: wp(S1; S2, Q)”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record…

Implementation mathematicsSource recovered; runtime not executed

For sequence: wp(S1; S2, Q) = wp(S1, wp(S2, Q))

gh-eq-fe71272e35f680ee

Machine Learning Module for Gate5000 Consciousness · ADAM: m

This relation defines ADAM: m in the source section “Machine Learning Module for Gate5000 Consciousness · ADAM: m”. Takes a square root, requiring a nonnegative real radicand when interpreted over the reals. Its interpretation depends on the source’s stated variables and conditions; this…

Implementation mathematicsSource recovered; runtime not executed

ADAM: m = β₁m + (1-β₁)g, v = β₂v + (1-β₂)g², w = w - η·m̂/(√v̂ + ε)

gh-eq-6522767afa97c2e4

Machine Learning Module for Gate5000 Consciousness · BCM: Δw_ij

This relation defines BCM: Δw_ij in the source section “Machine Learning Module for Gate5000 Consciousness · BCM: Δw_ij”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and…

Implementation mathematicsSource recovered; runtime not executed

BCM: Δw_ij = η·x_i·x_j·(x_j - θ_j)

gh-eq-f3f807918fe00d8b

Machine Learning Module for Gate5000 Consciousness · CHAIN RULE: δ_j

This relation defines CHAIN RULE: δ_j in the source section “Machine Learning Module for Gate5000 Consciousness · CHAIN RULE: δ_j”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this…

Implementation mathematicsSource recovered; runtime not executed

CHAIN RULE: δ_j = Σ_k(δ_k·w_jk)·f'(net_j)

gh-eq-cbcac79b4d3c8d6e

Machine Learning Module for Gate5000 Consciousness · CLASSIC HEBBIAN: Δw_ij

This relation defines CLASSIC HEBBIAN: Δw_ij in the source section “Machine Learning Module for Gate5000 Consciousness · CLASSIC HEBBIAN: Δw_ij”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and…

Implementation mathematicsSource recovered; runtime not executed

CLASSIC HEBBIAN: Δw_ij = η·x_i·x_j

gh-eq-1962ffaa84f115ce

Machine Learning Module for Gate5000 Consciousness · MOMENTUM: v

This relation defines MOMENTUM: v in the source section “Machine Learning Module for Gate5000 Consciousness · MOMENTUM: v”. Uses a derivative or gradient to describe a rate of change or a direction of variation. Its interpretation depends on the source’s stated variables and conditions; this record…

Implementation mathematicsSource recovered; runtime not executed

MOMENTUM: v = μ·v - η·∇L, w = w + v

gh-eq-341b208de53d7fa3

Machine Learning Module for Gate5000 Consciousness · NORMALIZED: Δw_ij

This relation defines NORMALIZED: Δw_ij in the source section “Machine Learning Module for Gate5000 Consciousness · NORMALIZED: Δw_ij”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and…

Implementation mathematicsSource recovered; runtime not executed

NORMALIZED: Δw_ij = η·(x_i·x_j - α·w_ij·x_j²)

gh-eq-af053cffb4d30fae

Machine Learning Module for Gate5000 Consciousness · OJA'S RULE: Δw_ij

This relation defines OJA'S RULE: Δw_ij in the source section “Machine Learning Module for Gate5000 Consciousness · OJA'S RULE: Δw_ij”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and…

Implementation mathematicsSource recovered; runtime not executed

OJA'S RULE: Δw_ij = η·y·(x_i - y·w_ij)

gh-eq-c032a9ce7b8d9e93

Machine Learning Module for Gate5000 Consciousness · SGD: w

This relation defines SGD: w in the source section “Machine Learning Module for Gate5000 Consciousness · SGD: w”. Uses a derivative or gradient to describe a rate of change or a direction of variation. Its interpretation depends on the source’s stated variables and conditions; this record…

Implementation mathematicsSource recovered; runtime not executed

SGD: w = w - η·∇L

gh-eq-5e41075389eedb7b

Machine Learning Module for Gate5000 Consciousness · WEIGHT UPDATE: Δw_ij

This relation defines WEIGHT UPDATE: Δw_ij in the source section “Machine Learning Module for Gate5000 Consciousness · WEIGHT UPDATE: Δw_ij”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and…

Implementation mathematicsSource recovered; runtime not executed

WEIGHT UPDATE: Δw_ij = -η·δ_j·x_i

gh-eq-8887781affb6aefd

Memory-Efficient Representations for Gate5000 · q

This relation defines q in the source section “Memory-Efficient Representations for Gate5000 · q”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an…

Implementation mathematicsSource recovered; runtime not executed

q = round((x - zero_point) / scale)

gh-eq-fab0babb168e8bf4

Memory-Efficient Representations for Gate5000 · x

This relation defines x in the source section “Memory-Efficient Representations for Gate5000 · x”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an…

Implementation mathematicsSource recovered; runtime not executed

x = q * scale + zero_point

gh-eq-101c395f0fb6a7fa

MindFarm - Manager for 10,000 mind kernels

This relation defines ∴ 10,000 minds ≈ 0.5 Game Boy in the source section “MindFarm - Manager for 10,000 mind kernels”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does…

Implementation mathematicsSource recovered; runtime not executed

∴ 10,000 minds ≈ 0.5 Game Boy

gh-eq-0314093bd2377873

MindFarm - Manager for 10,000 mind kernels · 10,000 minds

This relation defines 10,000 minds in the source section “MindFarm - Manager for 10,000 mind kernels · 10,000 minds”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not…

Implementation mathematicsSource recovered; runtime not executed

10,000 minds = 50,000,000 gates

gh-eq-3aa93f69235c9281

MindFarm - Manager for 10,000 mind kernels · 100,000,000

This relation defines 100,000,000 in the source section “MindFarm - Manager for 10,000 mind kernels · 100,000,000”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not…

Implementation mathematicsSource recovered; runtime not executed

100,000,000 = Game Boy CPU

gh-eq-0c26ddf84766e84e

MindFarm - Manager for 10,000 mind kernels · 5,000 gates

This relation defines 5,000 gates in the source section “MindFarm - Manager for 10,000 mind kernels · 5,000 gates”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not…

Implementation mathematicsSource recovered; runtime not executed

5,000 gates = 1 mind kernel

gh-eq-514c6dddd27ec0a7

MindFarm - Manager for 10,000 mind kernels · 50,000,000,000

This relation defines 50,000,000,000 in the source section “MindFarm - Manager for 10,000 mind kernels · 50,000,000,000”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does…

Implementation mathematicsSource recovered; runtime not executed

50,000,000,000 = M4 chip

gh-eq-38d38de141a8ca4d

Mutual information I(X;Y) = H(X) + H(Y) - H(X,Y) · @brief Mutual information I(X;Y)

This relation defines @brief Mutual information I(X;Y) in the source section “Mutual information I(X;Y) = H(X) + H(Y) - H(X,Y) · @brief Mutual information I(X;Y)”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated…

Implementation mathematicsSource recovered; runtime not executed

@brief Mutual information I(X;Y) = H(X) + H(Y) - H(X,Y)

gh-eq-5cba4ffe853b475d

Natural gradient (Fisher-Rao): ∇̃f = G^{-1}∇f · @brief Natural gradient (Fisher-Rao): ∇̃f

This relation defines @brief Natural gradient (Fisher-Rao): ∇̃f in the source section “Natural gradient (Fisher-Rao): ∇̃f = G^{-1}∇f · @brief Natural gradient (Fisher-Rao): ∇̃f”. Uses a derivative or gradient to describe a rate of change or a direction of variation. Its interpretation depends on…

Implementation mathematicsSource recovered; runtime not executed

@brief Natural gradient (Fisher-Rao): ∇̃f = G^{-1}∇f

gh-eq-4a1e612de7c7d4f0

Normalized Hebbian: Δw = η·(x_i·x_j - α·w·x_j²) · @brief Normalized Hebbian: Δw

This relation defines @brief Normalized Hebbian: Δw in the source section “Normalized Hebbian: Δw = η·(x_i·x_j - α·w·x_j²) · @brief Normalized Hebbian: Δw”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated…

Implementation mathematicsSource recovered; runtime not executed

@brief Normalized Hebbian: Δw = η·(x_i·x_j - α·w·x_j²)

gh-eq-a3ec04dad1c6a567

Oja's Rule: Δw = η·y·(x - y·w) · @brief Oja's Rule: Δw

This relation defines @brief Oja's Rule: Δw in the source section “Oja's Rule: Δw = η·y·(x - y·w) · @brief Oja's Rule: Δw”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record…

Implementation mathematicsSource recovered; runtime not executed

@brief Oja's Rule: Δw = η·y·(x - y·w)

gh-eq-6fdae36f7607c7f8

Ornstein-Uhlenbeck step: dX = θ(μ - X)dt + σdW · @brief Ornstein-Uhlenbeck step: dX

This relation defines @brief Ornstein-Uhlenbeck step: dX in the source section “Ornstein-Uhlenbeck step: dX = θ(μ - X)dt + σdW · @brief Ornstein-Uhlenbeck step: dX”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated…

Implementation mathematicsSource recovered; runtime not executed

@brief Ornstein-Uhlenbeck step: dX = θ(μ - X)dt + σdW

gh-eq-fc690403ca438957

Outer product: M = α·u⊗v + M · @brief Outer product: M

This relation defines @brief Outer product: M in the source section “Outer product: M = α·u⊗v + M · @brief Outer product: M”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record…

Implementation mathematicsSource recovered; runtime not executed

@brief Outer product: M = α·u⊗v + M

gh-eq-d88cbb33162f210e

Per-Tick Flow

This relation defines Φ in the source section “Per-Tick Flow”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to…

Implementation mathematicsSource recovered; runtime not executed

double Φ = MeasureConsciousness(state);

gh-eq-68fd7f0f61c6128f

Philosophical Alignment

This relation defines - **Tononi**: IIT → Φ in the source section “Philosophical Alignment”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided…

Implementation mathematicsSource recovered; runtime not executed

- **Tononi**: IIT → Φ = integrated information

gh-eq-c025d9fca1fde725

Policy gradient: ∇J ≈ Σ(∇log π(a|s)·R)

This relation defines @brief Policy gradient: ∇J ≈ Σ(∇log π(a|s)·R) in the source section “Policy gradient: ∇J ≈ Σ(∇log π(a|s)·R)”. Uses a derivative or gradient to describe a rate of change or a direction of variation. Its interpretation depends on the source’s stated variables and conditions;…

Implementation mathematicsSource recovered; runtime not executed

@brief Policy gradient: ∇J ≈ Σ(∇log π(a|s)·R)

gh-eq-9dd4c497e4e6dd8a

Propagate delta backward: δ_j = Σ(δ_k · w_jk) · f'(net_j) · @brief Propagate delta backward: δ_j

This relation defines @brief Propagate delta backward: δ_j in the source section “Propagate delta backward: δ_j = Σ(δ_k · w_jk) · f'(net_j) · @brief Propagate delta backward: δ_j”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the…

Implementation mathematicsSource recovered; runtime not executed

@brief Propagate delta backward: δ_j = Σ(δ_k · w_jk) · f'(net_j)

gh-eq-6ff9ecb1d284aa4e

Reparameterization trick: sample = μ + σ * ε · @brief Reparameterization trick: sample

This relation defines @brief Reparameterization trick: sample in the source section “Reparameterization trick: sample = μ + σ * ε · @brief Reparameterization trick: sample”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the…

Implementation mathematicsSource recovered; runtime not executed

@brief Reparameterization trick: sample = μ + σ * ε

gh-eq-dbd153a3ed5f7f32

Ricci scalar curvature (simplified 1D) · R

This relation defines R in the source section “Ricci scalar curvature (simplified 1D) · R”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided…

Implementation mathematicsSource recovered; runtime not executed

R = 2K where K is Gaussian curvature

gh-eq-ce39928a7165d2c0

SEFERIM FEDERATION - MASTER LEARNING ENGINE · Activation: χ

This relation defines Activation: χ in the source section “SEFERIM FEDERATION - MASTER LEARNING ENGINE · Activation: χ”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does…

Implementation mathematicsSource recovered; runtime not executed

Activation: χ = σ(α_κ·κ + α_Ψ·Ψ̃ - θ)

gh-eq-772d302e214cf7c9

SEFERIM FEDERATION - MASTER LEARNING ENGINE · Compute continuous activation χ

This relation defines continuous activation χ in the source section “SEFERIM FEDERATION - MASTER LEARNING ENGINE · Compute continuous activation χ”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and…

Implementation mathematicsSource recovered; runtime not executed

Compute continuous activation χ = σ(α_κ·κ + α_Ψ·Ψ̃ - θ)

gh-eq-a6075c838db62b2b

SEFERIM FEDERATION - MASTER LEARNING ENGINE · Compute learning drive Γ

This relation defines learning drive Γ in the source section “SEFERIM FEDERATION - MASTER LEARNING ENGINE · Compute learning drive Γ”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this…

Implementation mathematicsSource recovered; runtime not executed

Compute learning drive Γ = χ × η × κ

gh-eq-973bfa853880618d

SEFERIM FEDERATION - MASTER LEARNING ENGINE · MASTER UPDATE: φ(t+)

This relation defines MASTER UPDATE: φ(t+) in the source section “SEFERIM FEDERATION - MASTER LEARNING ENGINE · MASTER UPDATE: φ(t+)”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this…

Implementation mathematicsSource recovered; runtime not executed

MASTER UPDATE: φ(t+) = φ(t) + (1-φ(t)) × Γ × π^eff

gh-eq-df0684d2042b9b30

SEFERIM FEDERATION - MASTER LEARNING ENGINE · Normalize pressure: Ψ̃

This relation defines Normalize pressure: Ψ̃ in the source section “SEFERIM FEDERATION - MASTER LEARNING ENGINE · Normalize pressure: Ψ̃”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions;…

Implementation mathematicsSource recovered; runtime not executed

Normalize pressure: Ψ̃ = Ψ / (Ψ + ψ₀)

gh-eq-f845b6e890e1dcc7

SELF-DEBUGGING SYSTEM · F(x)

This relation defines F(x) in the source section “SELF-DEBUGGING SYSTEM · F(x)”. Uses a derivative or gradient to describe a rate of change or a direction of variation. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or…

Implementation mathematicsSource recovered; runtime not executed

F(x) = x - α∇L(x) where L is the error loss

gh-eq-7ee4aa0805c979bd

SIMD VECTOR OPERATIONS

This relation defines tanh(x) ≈ x * (27 + x^2) / (27 + 9*x^2) in the source section “SIMD VECTOR OPERATIONS”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign…

Implementation mathematicsSource recovered; runtime not executed

tanh(x) ≈ x * (27 + x^2) / (27 + 9*x^2)

gh-eq-62ee7b7aaa880de6

SIMD VECTOR OPERATIONS

This relation defines sigmoid(x) ≈ 0.5 + 0.5 * tanh(0.5 * x) in the source section “SIMD VECTOR OPERATIONS”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an…

Implementation mathematicsSource recovered; runtime not executed

sigmoid(x) ≈ 0.5 + 0.5 * tanh(0.5 * x)

gh-eq-30f75045f0192fe6

SIMD VECTOR OPERATIONS · out

This relation defines out in the source section “SIMD VECTOR OPERATIONS · out”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or…

Implementation mathematicsSource recovered; runtime not executed

out = a * b + c

gh-eq-c09c861b0335026d

SIMD VECTOR OPERATIONS · phi(x)

This relation defines phi(x) in the source section “SIMD VECTOR OPERATIONS · phi(x)”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or…

Implementation mathematicsSource recovered; runtime not executed

phi(x) = 1 / (1 + |x - 1|)

gh-eq-e50202fcf3ca300b

SIMD-OPTIMIZED GATE5000 · a_i(t+1)

This relation defines a_i(t+1) in the source section “SIMD-OPTIMIZED GATE5000 · a_i(t+1)”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided…

Implementation mathematicsSource recovered; runtime not executed

a_i(t+1) = tanh(alpha * sum(w_j * a_j) + beta)

gh-eq-1c345c05712f80d2

SUPERCOILING · LinkingNumber returns Lk

This relation defines LinkingNumber returns Lk in the source section “SUPERCOILING · LinkingNumber returns Lk”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign…

Implementation mathematicsSource recovered; runtime not executed

LinkingNumber returns Lk = Tw + Wr

gh-eq-a1262653359893df

Self-attention: attend to single input · Apply softmax (single element

This relation defines Apply softmax (single element in the source section “Self-attention: attend to single input · Apply softmax (single element”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and…

Implementation mathematicsSource recovered; runtime not executed

Apply softmax (single element = 1.0)

gh-eq-cd95bbcc554a3151

Shannon entropy H(X) = -Σ p(x) log p(x) · @brief Shannon entropy H(X)

This relation defines @brief Shannon entropy H(X) in the source section “Shannon entropy H(X) = -Σ p(x) log p(x) · @brief Shannon entropy H(X)”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and…

Implementation mathematicsSource recovered; runtime not executed

@brief Shannon entropy H(X) = -Σ p(x) log p(x)

gh-eq-191994cdb3636f6b

Sigmoid with derivative: σ(x), σ'(x) = σ(x)(1-σ(x)) · @brief Sigmoid with derivative: σ(x), σ'(x)

This relation defines @brief Sigmoid with derivative: σ(x), σ'(x) in the source section “Sigmoid with derivative: σ(x), σ'(x) = σ(x)(1-σ(x)) · @brief Sigmoid with derivative: σ(x), σ'(x)”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends…

Implementation mathematicsSource recovered; runtime not executed

@brief Sigmoid with derivative: σ(x), σ'(x) = σ(x)(1-σ(x))

gh-eq-1b85ea9050439f32

Sparse vector with top-k storage · Size: K bytes + K*4 bytes

This relation defines Size: K bytes + K*4 bytes in the source section “Sparse vector with top-k storage · Size: K bytes + K*4 bytes”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this…

Implementation mathematicsSource recovered; runtime not executed

Size: K bytes + K*4 bytes = 5K bytes (K=4: 20 bytes vs 64)

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