©2026_NKTg = f(x,v,m)

©2026_NKTg = f(x,v,m)

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1. English (English)
ANNOUNCEMENT OF SOFTWARE SPECIFICATION AND ALGORITHM FOR THE NKTg LAW OF VARIABLE INERTIA
© 2026 Nguyễn Khánh Tùng. All rights reserved.
I. GENERAL INFORMATION
• Software Name:
NKTg Variable Inertia Computing System (NKTg Dynamics Calculator).
• Author:
Nguyễn Khánh Tùng
• Programming Languages:
C++ (ISO/IEC 14882) and Assembly (x64).
II. THEORETICAL BASIS: NKTg LAW OF VARIABLE INERTIA
The software is implemented based on the principles of the NKTg Law:
• Fundamental Relationship:
Movement tendency depends on position (x), velocity (v), and mass (m). Formula: NKTg = f(x, v, m).
• Core Product Quantities:
o Momentum (p): p = m * v
o NKTg_1 Quantity: Product of position and momentum (NKTg_1 = x * p).
o NKTg_2 Quantity: Product of the mass variation rate and momentum (NKTg_2 = (dm/dt) * p).
• Unit of Measurement:
NKTm (Unit of variable inertia).
III. DETAILED ALGORITHM DESCRIPTION
1. Data Processing Workflow
The algorithm performs movement tendency analysis through logical steps:
• Step 1:
Receive input parameters: position (x), velocity (v), mass (m), and mass change rate (dm/dt).
• Step 2:
Calculate linear momentum p = m * v.
• Step 3:
Calculate variable inertia values NKTg_1 and NKTg_2.
• Step 4:
Classify the tendency (Tendency) based on the sign of the value:
o NKTg_1 > 0: Moving away from stable state.
o NKTg_1 < 0: Moving toward stable state.
o NKTg_2 > 0: Mass variation supports movement.
o NKTg_2 < 0: Mass variation resists movement.
IV. EXECUTION SOURCE CODE (SOURCE CODE)
1. High-Level Source Code (C++)
C++
#include

/**
* Computational library for Variable Inertia according to NKTg Law
* All copyrights reserved regarding calculation logic and tendency definitions.
*/
int main() {
// 1. Declare parameters: x (position), v (velocity), m (mass), dm_dt (mass variation rate m)
double x = 2.0, v = 3.0, m = 5.0, dm_dt = -0.5;

// 2. Perform calculation according to NKTg Law
double p = m * v; // p = m * v
double n1 = x * p; // NKTg1 = x * p
double n2 = dm_dt * p; // NKTg2 = (dm/dt) * p

// 3. Output results in Record format
printf("{ p = %.1f\n nktg1 = %.1f\n nktg2 = %.1f\n", p, n1, n2);

// Movement Tendency Classification (Tendency Classification)
printf(" tendency1 = \"%s\"\n",
n1 > 0 ? "Moving away from stable state" :
n1 < 0 ? "Moving toward stable state" : "Stable equilibrium");

printf(" tendency2 = \"%s\" }",
n2 > 0 ? "Mass variation supports movement" :
n2 < 0 ? "Mass variation resists movement" : "No mass variation effect");

return 0;