Mixed Integer & Integer Linear Programming
Integer linear programming (ILP) involves mathematical programming problems where the variables are constrained to have integer values. Many engineering, industrial, and financial applications require integer constraints. For instance, in manufacturing, we cannot produce 9.5 cars in a day, as this is not feasible. Rounding off values may also not yield desirable results, so we need to obtain integer solutions.
Mixed Integer Linear Programming (MILP) is an extension of integer programming where some or all of the variables in the problem are constrained to take integer values. This broader class of problems allows for more flexibility in modelling real-world situations. In some cases, it may not be computationally efficient to solve large-scale problems with all integer constraints, hence the use of mixed integer linear programming. The use of cutting plane method, cover inequality, and Lagrangian relaxation helps us to achieve better results in mixed integer linear programming.”
Mixed Integer Linear Programming Pricing
The Imsofai team is dedicated to collecting, cleansing, and analyzing acquired data to provide valuable insights and recommendations for companies. Our tailored data-driven approach will assist Micro, Small, and Medium Enterprises (MSMEs) in creating effective policies based on the recommendations. This product is specifically designed to cater to the unique needs of MSMEs
Quarterly Plan
Best choice for small companies
Discounted Price
A promotional discount of 68% is available for this product
Annual Plan
Best choice for long-term planning
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A promotional discount of 68% is available for this product
Single License
Best for consultants
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A promotional discount of 68% is available for this product
Colleague License
Best for Start-Ups
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A promotional discount of 68% is available for this product
Team License
Best for Companies
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A promotional discount of 68% is available for this product
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Integer Linear Programming Pricing
The Imsofai team is dedicated to collecting, cleansing, and analyzing acquired data to provide valuable insights and recommendations for companies. Our tailored data-driven approach will assist Micro, Small, and Medium Enterprises (MSMEs) in creating effective policies based on the recommendations. This product is specifically designed to cater to the unique needs of MSMEs
Quarterly Plan
Best choice for small companies
Discounted Price
A promotional discount of 68% is available for this product
Annual Plan
Best choice for long-term planning
Discounted Price
A promotional discount of 68% is available for this product
Single License
Best for consultants
Discounted Price:
A promotional discount of 68% is available for this product
Colleague License
Best for Start-Ups
Discounted Price:
A promotional discount of 68% is available for this product
Team License
Best for Companies
Discounted Price:
A promotional discount of 68% is available for this product
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
How our product works
Objective function identification.
Constraints formulation
Model building & Cloud Integration.
Objective function
The objective function in Mixed Integer & Integer Linear Programming is the key focus of the stakeholder, where they want all or some decision variables to converge to an integer result.
Constraint formulation.
In Mixed & Integer linear programming, constraints play a crucial role as they represent the limitations on the available resources. Our algorithm must effectively utilize these resources to achieve optimality. We carefully extract the relevant information from the data to formulate the linear function of constraints, with respect to our objective function.
Model building & Cloud Integration.
We have developed a powerful model and seamlessly integrated it into the cloud, offering it to our customers as a Software as a Service (SaaS) platform.