Online Linear Programming Solver

SSC Online Solver allows users to solve linear programming problems (LP or MILP) written in either Text or JSON format. By using our solver, you agree to the following terms and conditions. Input or write your problem in the designated box and press "Run" to calculate your solution!

Enter the Problem → (Run) →
index of special 26 index of special 26 index of special 26 index of special 26 index of special 26 index of special 26
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{}
index of special 26 index of special 26 index of special 26 index of special 26
Information to Include in the Result
Problem Input Format
Preloaded Examples
Type of Solution to Compute
Set Epsilon (Phase 1) ? What is Epsilon?

The epsilon value defines the tolerance threshold used to verify the feasibility of the solution at the end of Phase 1 of the Simplex algorithm. Smaller values ensure greater precision in checks but may exclude feasible solutions in problems formulated with large-scale numbers (billions or more). In such cases, it is advisable to increase the tolerance to detect these solutions.
/* The variables can have any name, but they must start with an alphabetic character and can be followed by alphanumeric characters. Variable names are not case-insensitive, me- aning that "x3" and "X3" represent the same variable.*/ min: 3Y +2x2 +4x3 +7x4 +8X5 5Y + 2x2 >= 9 -3X4 3Y + X2 + X3 +5X5 = 12 6Y + 3x2 + 4X3 <= 124 -5X4 y + 3x2 +6X5 <= 854 -3X4
/* This is a formulation of a linear programming problem in JSON format. */ { "objective": { "type": "min", "coefficients": { "Y": 3, "X2": 2, "X3": 4, "X4": 7, "X5": 8 } }, "constraints": [ { "coefficients": { "Y": 5, "X2": 2, "X4":-3 }, "relation": "ge", "rhs": 9, "name":"VINCOLO1" }, { "coefficients": { "Y": 3, "X2": 1, "X3": 1, "X5": 5 }, "relation": "eq", "rhs": 12, "name":"VINCOLO2" }, { "coefficients": { "Y": 6, "X2": 3, "X3": 4, "X4":-5 }, "relation": "le", "rhs": 124, "name":"VINCOLO3" } ], "bounds": { "Y": { "lower": -1, "upper": 4 }, "X2": { "lower": null, "upper": 5 } } }
min: 3Y +2x2 +4Z +7x4 +8X5 5Y +2x2 +3X4 >= 9 3Y + X2 + Z +5X5 = 12 6Y +3.0x2 +4Z +5X4 <= 124 Y +3x2 + 3X4 +6X5 <= 854 /* To make a variable free is necessary to set a lower bound to -∞ (both +∞ and -∞ are repre- sented with '.' in the text format) */ -1<= x2 <= 6 . <= z <= .
min: 3x1 +X2 +4x3 +7x4 +8X5 5x1 +2x2 +3X4 >= 9 3x1 + X2 +X3 +5X5 >= 12.5 6X1+3.0x2 +4X3 +5X4 <= 124 X1 + 3x2 +3X4 +6X5 <= 854 int x2, X3
min: 3x1 +X2 +4x3 +7x4 +8X5 /* Constraints can be named using the syntax "constraint_name: ....". Names must not contain spaces. */ constraint1: 5x1 +2x2 +3X4 >= 9 constraint2: 3x1 + X2 +X3 +5X5 >= 12.5 row3: 6X1+3.0x2 +4X3 +5X4 <= 124 row4: X1 + 3x2 +3X4 +6X5 <= 854 /*To declare all variables as integers, you can use the notation "int all", or use the notation that with the wildcard '*', which indicates that all variables that start with a certain prefix are integers.*/ int x*
min: 3x1 +X2 +4x3 +7x4 +8X5 5x1 +2x2 +3X4 >= 9 3x1 + X2 +X3 +5X5 >= 12.5 6X1+3.0x2 +4X3 +5X4 <= 124 X1 + 3x2 +3X4 +6X5 <= 854 1<= X2 <=3 /*A set of SOS1 variables limits the values of these so that only one variable can be non-zero, while all others must be zero.*/ sos1 x1,X3,x4,x5
/* All variables are non-negative by default (Xi >=0). The coefficients of the variables can be either or numbers or mathematical expressions enclosed in square brackets '[]' */ /* Objective function: to maximize */ max: [10/3]Y + 20.3Z /* Constraints of the problem */ 5.5Y + 2Z >= 9 3Y + Z + X3 + 3X4 + X5 >= 8 6Y + 3.7Z + 3X3 + 5X4 <= 124 9.3Y + 3Z + 3X4 + 6X5 <= 54 /* It is possible to specify lower and upper bounds for variables using the syntax "l <= x <= u" or "x >= l", or "x <= u". If "l" or "u" are nega- tive, the variable can take negative values in the range. */ /* INCORRECT SINTAX : X1, X2, X3 >=0 */ /* CORRECT SINTAX : X1>=0, X2>=0, X3>=0 */ Z >= 6.4 , X5 >=5 /* I declare Y within the range [-∞,0] */ . <= Y <= 0 /* Declaration of integer variables. */ int Z, Y


Index Of Special 26 Exclusive

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A nervous but fiercely loyal veteran con artist and family man. CBI Officer Waseem Khan

Neeraj Pandey, marking his second major project after the hit A Wednesday! .

). Directed by Neeraj Pandey , the movie is a heist thriller based on the real-life 1987 Opera House heist in Mumbai. Overview of the Film

To this day, investigators suspect that "Mohan Singh" had intimate knowledge of the store's operations, though his identity remains one of India's greatest unsolved mysteries. 4. Legacy and Modern References index of special 26

The Song That Doesn’t Fade

Which of these 26 is your favorite moment? Drop it in the comments. ⬇️

The core tension arises from the intellectual battle between Ajju (Kumar) and Waseem Khan (Bajpayee). While Ajju is always one step ahead, Waseem Khan’s meticulous police work slowly closes the net. D. The Music and Atmosphere

A smart, stylish, and gripping heist thriller that relies on brainpower over brawn. Highly recommended. : Offers digital access to the movie complete

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The mastermind was never caught and remains a mystery to this day. Critical Reception and Impact

The final note in the Index, entry twenty-six, is not an object but a question.

Landline phones, typewriters, and analog documentation used during the "raids." C. The Mind Game (Cat and Mouse) CBI Officer Waseem Khan Neeraj Pandey, marking his

The core of the movie's intrigue lies in its basis on factual events. The narrative is conceptualized from a daring, real-life daylight heist executed on .

Posing as Central Bureau of Investigation (CBI) officers, the group conducted a "mock raid," ordered the staff to switch off the CCTV cameras, and began "seizing" jewelry and cash for "evidence."

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