Solver Product List and Ranking from 8 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Sep 24, 2025～Oct 21, 2025
This ranking is based on the number of page views on our site.

Solver Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Sep 24, 2025～Oct 21, 2025
This ranking is based on the number of page views on our site.

  1. People, Dreams & Technologies Group Co., Ltd. Tokyo//Construction Consultant
  2. 爆発研究所 本社オフィス Tokyo//Construction Consultant
  3. テクノスター Tokyo//others
  4. ログ・オプト Chiba//Information and Communications
  5. エヌ・エス・ティ Tokyo//Service Industry
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Solver Product ranking

Last Updated： Aggregation Period:Sep 24, 2025～Oct 21, 2025
This ranking is based on the number of page views on our site.

  1. Quantum Annealing Mathematical Optimization Solver [For Education, Research, and PoC] People, Dreams & Technologies Group Co., Ltd.
  2. Scheduling Optimization Solver OptSeq ログ・オプト
  3. FEM Solver "IMPETUS Afea Solver" 爆発研究所 本社オフィス
  4. General-purpose CAE solver "SunShine-Solver" テクノスター
  5. Fluid analysis solver "Femap Flow" エヌ・エス・ティ

Solver Product List

1～14 item / All 14 items

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Fluid analysis solver "Femap Flow"

Fluid analysis solver "Femap Flow"

Fluid analysis plus in the Femap environment!

Femap Flow is a fluid analysis solver that is used as an add-on to Femap. Customers who are currently using Femap and wish to conduct fluid analysis can do so by adding it to their existing Femap environment, allowing them to perform fluid analysis using the Femap GUI. 【Features】 Not only can fluid analysis be performed, but by using Femap's GUI and model files, structural-fluid coupled analysis with NX Nastran can also be easily conducted. Additionally, by adding the Femap add-on thermal analysis software, Thermal, thermal-fluid coupled analysis can also be easily performed. 【Application Examples】 ○ Steady-state and unsteady fluid analysis are possible. ○ Analysis considering viscosity and compressibility is possible for liquid and gas layers at sonic speeds (up to Mach 4). ○ Modeling of Newtonian and non-Newtonian fluids is possible. ○ Turbulence models such as the FTV model, Mixing Length model, and k-ε model can be utilized. ○ Periodic boundary conditions can be modeled. ○ Fans can be defined not only at boundary surfaces but also in flow injection. ◎ For more detailed information, please refer to the catalog or contact us directly.

  • Scientific Calculation and Simulation Software

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High-speed mathematical optimization solver "Gurobi Optimizer"

High-speed mathematical optimization solver "Gurobi Optimizer"

Infinite possibilities with optimized solutions! State-of-the-art high-speed mathematical optimization solver.

The "Gurobi Optimizer" is a mathematical optimization solver for linear programming (LP), quadratic programming (QP), quadratic constrained programming (QCP), and mixed-integer programming (MIP) [mixed-integer linear programming (MILP), mixed-integer quadratic programming (MIQP), mixed-integer quadratic constrained programming (MIQCP)]. This product is designed to leverage the latest hardware architectures and multi-core processor technologies thoroughly, using advanced optimization algorithms to quickly derive reliable solutions. 【Features】 ○ Continuously updates to the world's fastest speed in third-party benchmarks ○ Easily constructs complex models ○ Simple transition to complete applications ○ Faster and uses less memory ○ Rich interfaces For more details, please contact us or download the catalog.

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Constraint Optimization Solver SCOP

Constraint Optimization Solver SCOP

Solving large-scale combinatorial optimization problems quickly.

SCOP (Solver for Constraint Programming) is a solver designed to quickly solve large-scale combinatorial optimization problems. By using solution principles specialized for combinatorial optimization problems, SCOP can efficiently explore good solutions even for large-scale problems that traditional mathematical optimization solvers cannot handle. Features: By defining variables in a different way than mathematical optimization solvers, it can significantly reduce the number of variables, enabling fast solutions. It allows for a more natural logical constraint description (easier for humans to understand) compared to mathematical optimization solvers. Based on metaheuristics, it possesses world-class search capabilities. Even for large-scale problems, it can solve them extremely efficiently within limited computation time. It provides data input through a simple modeling language and a Python language interface.

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Scheduling Optimization Solver OptSeq

Scheduling Optimization Solver OptSeq

Fast solving of large-scale scheduling optimization.

OptSeq is a general-purpose scheduling optimization solver specialized in scheduling optimization. It allows for the description of various practical constraints and employs algorithms specifically designed for scheduling optimization problems, enabling it to produce good solutions in a short time for large-scale scheduling optimization problems that cannot be solved by mathematical optimization solvers. In OptSeq, while considering renewable resources such as machines and people, non-renewable resources that are consumed such as money and materials, setup times, interruptions during work, resource occupancy and non-occupancy during interruptions, parallel tasks, selection of work modes, and arbitrary time constraints between tasks, it is a solver capable of addressing due date minimization scheduling and mixed scheduling of forward and backward scheduling. Features: It allows for modeling scheduling optimization problems in a more natural expression (easier for humans to understand) compared to mathematical optimization solvers. Based on metaheuristics, it possesses world-class search capabilities. Even for large-scale problems, it can solve them extremely efficiently within limited computation time. It provides data input through a simple modeling language and a Python language interface.

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Model Predictive Control / Embedded System Optimization Solver 'FORCESPRO'

Model Predictive Control / Embedded System Optimization Solver 'FORCESPRO'

A fast and reliable solver for model predictive control and embedded system optimization.

An advanced numerical optimization algorithm specially developed for the mathematical structure of optimal control problems solves complex optimization issues in milliseconds. This fastest solver also has a very small file size, allowing it to be embedded in any hardware platform, significantly improving safety, productivity, and energy efficiency. For example, it is used in autonomous driving (vehicle motion planning and energy management), rocket guidance and motion planning, pitch control of wind turbines, sheet metal laser cutting, and motion planning for robotic arms.

  • IT Control and Services

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Structural Analysis and Structural Optimization Solver Altair OptiStruct

Structural Analysis and Structural Optimization Solver Altair OptiStruct

It is the latest structural analysis solver for linear and nonlinear simulations under static and dynamic loads, capable of performance evaluation and optimization for strength, durability, NVH, and more.

<Main Features of the Product> • Supports nonlinear analysis • State-of-the-art NVH analysis solver • Highly parallelized solver • Structural optimization technology with 30 years of proven experience • Advanced optimization capabilities for laminated composites

  • Scientific Calculation and Simulation Software

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Nonlinear Impact Analysis Coupled Analysis Solver Altair Radioss

Nonlinear Impact Analysis Coupled Analysis Solver Altair Radioss

It is used in various industries around the world to improve the impact resistance, safety, and manufacturability of structural designs.

Altair Radioss is an advanced structural analysis solver developed to handle complex nonlinear dynamic problems such as collision analysis and fracture analysis. It excels in scalability of parallel computing, analysis accuracy, and robustness of solutions, and is equipped with multiphysics simulation capabilities and composite material modeling features. Radioss is utilized as a solver to address impact resistance, safety improvements, and production technology challenges across various industries worldwide. <Main Features of the Product> - Scalability of parallel computing optimized for large-scale and advanced nonlinear dynamic problems - A diverse library of material and fracture models - Unique features specialized for high-precision airbag simulations - Extensive multiphysics analysis capabilities - Finite element models for dummies, barriers, impactors, and automotive safety analysis

  • Scientific Calculation and Simulation Software

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Quantum Annealing Mathematical Optimization Solver [For Education, Research, and PoC]

Quantum Annealing Mathematical Optimization Solver [For Education, Research, and PoC]

A mathematical optimization solver utilizing quantum annealing is a tool that efficiently solves complex optimization problems using quantum technology.

Pioneering the future with an innovative mathematical optimization solver! Our mathematical optimization solver is a next-generation solution that leverages quantum annealing technology. In today's society, faced with complex and vast combinatorial problems, it is capable of solving challenges that traditional algorithms struggle to address, quickly and efficiently. It is utilized across various industrial sectors, such as optimizing transportation networks, streamlining logistics routes, and optimizing portfolios, achieving significant cost reductions and productivity improvements. Particularly in scenarios where real-time decision-making is required, our solver demonstrates unparalleled performance. Moreover, as a method of mathematical optimization, quantum annealing excels in problems without data trends, allowing for solutions to be found in a very short time. A mathematical optimization solver that opens up future possibilities. Why not embark on a new challenge with us to pursue optimal solutions?

  • Scientific Calculation and Simulation Software

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Non-structured lattice fluid solver "CRUNCH CFD"

Non-structured lattice fluid solver "CRUNCH CFD"

It is possible to analyze phenomena that are difficult to handle with general fluid analysis software!

"CRUNCH CFD" is an unstructured grid fluid solver for multiphysics simulations. It is capable of analyzing phenomena that are difficult to handle with conventional fluid analysis software, such as combustion at supersonic and supercritical pressures, cavitation in cryogenic fluids, and flashing flow and choking phenomena associated with liquid compressibility. Additionally, its application range is broad, allowing for simulations of explosion and combustion analysis, turbomachinery, cavitation in pumps, and supercritical combustion. [Features] ■ Capable of analyzing phenomena that are difficult to handle with conventional fluid analysis software ■ Can simulate explosion and combustion analysis, turbomachinery, cavitation in pumps, and supercritical combustion ■ Development of multiple CEA solvers (modules) tailored to the phenomena being analyzed *For more details, please refer to the PDF document or feel free to contact us.

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FEM Solver "IMPETUS Afea Solver"

FEM Solver "IMPETUS Afea Solver"

Using GPU! A collision, destruction, and large deformation analysis solver utilizing cutting-edge technology.

"IMPETUS Afea Solver" is a structural analysis software developed by the Norwegian company IMPETUS Afea that can handle collisions and large deformations using the finite element method. It features realistic fracture simulation through a node splitting algorithm. High-order accurate solid elements allow for smooth contact between surfaces. Additionally, the GPU computing capability enables acceleration without the need for large computational resources. 【Features】 ■ Smooth contact between surfaces can be represented using high-order accurate solid elements ■ Realistic fracture simulation through a node splitting algorithm ■ Acceleration is possible without using large computational resources thanks to GPU computing capabilities ■ Coupled analysis of finite elements with high-performance explosives, air, and soil using the DP module (Discrete Particle Method) ■ Coupled analysis of water and structures using the SPH module *For more details, please refer to the PDF materials or feel free to contact us.

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General-purpose CAE solver "SunShine-Solver"

General-purpose CAE solver "SunShine-Solver"

General-purpose finite element method (FEM) solver built into Jupiter

SunShine-Solver is a general-purpose finite element method (FEM) solver built into Jupiter-Pre/Post. It is possible to submit jobs using SunShine-Solver alone. You can consistently perform the "Pre," "Solver," and "Post" processes on Jupiter. It is compatible with both Windows OS and Linux OS, and can be executed in environments different from Jupiter. The input and output file formats comply with Nastran. You can run it with your existing bdf format input files, and the output files are in op2 format. ############################################################################ For features and examples, please refer to the product page linked. Feel free to contact us with any questions, no matter how trivial.

  • Scientific Calculation and Simulation Software
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Delivery Optimization Solver METRO

Delivery Optimization Solver METRO

Fast solving of large-scale distribution optimization problems.

It is a solver specialized in delivery optimization problems, capable of solving large-scale delivery optimization issues quickly. It can express almost all practical constraints of delivery optimization problems, making it a highly practical delivery optimization solver. • It is possible to optimize delivery from multiple sets of customer locations to customer locations (such as delivery for sharing services). • It can optimize delivery based on warehouses or distribution centers. • Practical constraints such as time constraints, vehicle and location-related constraints, driver breaks, multidimensional capacity of trucks (considering mixed loads of refrigerated and frozen items, etc.), and simultaneous pickups and deliveries can be described.

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Set Covering Optimization Solver OptCover

Set Covering Optimization Solver OptCover

Fast solving of large-scale set cover optimization problems.

OptCover is a solver designed to quickly solve large-scale set cover optimization problems. The set cover optimization problem (not a strict definition) involves enumerating feasible solutions and finding the best combination among them. It can solve any problem where feasible solutions can be enumerated, including delivery optimization problems, scheduling problems, and other combinatorial optimization problems. Features: • Based on metaheuristics, it has world-class search capabilities. It can efficiently solve large-scale problems within a limited computation time. • Data input is possible using a simple modeling language.

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Mathematical Optimization Solver Gurobi Optimizer

Mathematical Optimization Solver Gurobi Optimizer

A mathematical optimization solver boasting world-class performance.

It is one of the most widely used and high-performance mathematical optimization solvers in the world, with a broad range of applicable problem types. While the performance of the solver itself is important, the modeling often leads to significant differences in the scale of problems that can be solved and the speed of solutions. Our company not only sells the solver but also excels in the technical aspects of modeling, providing excellent modeling support (for a fee) to user companies, as well as various consulting services (for a fee) to solve real-world problems using mathematical optimization techniques. Types of problems that can be solved: - Linear Programming (LP) - Mixed Integer Linear Programming (MILP) - Quadratic Programming (QP) - Quadratic Constraints (QCP) - Mixed Integer Quadratic Programming (MIQP) - Mixed Integer Quadratic Constraints (MIQCP) - Mixed Integer Non-convex Quadratic Constraints (Non-convex MIQCP) Features: - Code designed to maximize parallel processing - Unmatched performance in cutting plane processing - Rapidly finds feasible solutions through advanced MIP heuristic algorithms - Barrier algorithms that fully leverage the latest computer architectures - Support for an intuitive, easy-to-use, and lightweight range of APIs

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