The Wolfram Solution forOperations ResearchSimulate your processes with ready-to-deploy, fully interactive models using a combination of powerful computation, analysis, and dynamic report generation—all in one system, with one integrated workflow. Underlying the Wolfram operations research solution is state-of-the-art local and global optimization techniques, sophisticated graph algorithms, and efficient random number generation. |
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The Wolfram Edge
How Wolfram Compares
Key Capabilities
Mathematica includes thousands of built-in functions and curated data on many topics that let you:
- Model and optimize supply chains
- Design factory layouts for efficient flow of materials
- Solve dynamic vehicle-allocation problems
- Maximize airline revenue using leg-based and network-based seat inventory management
- Optimize maritime transport operations such as ship routing, scheduling, and fleet utilization
- Perform schedule planning of aircraft and crew members and operations of aviation infrastructure such as airports and air traffic
- Develop computer simulations to minimize outpatient wait times in hospitals, explore queuing networks in material handling systems, and more
- Analyze queuing systems and perform Markov process computations
- Perform effective project management using critical path analysis or PERT techniques
Modeling the inventory size and inventory costs of a business that receives regular deliveries
Illustrating the minimization and maximization of a function subject to a constraint
The Wolfram Edge
How Wolfram Compares
Key Capabilities
Does your current tool set have these advantages?
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Automatic, interactive interface construction to visualize your simulations, examine model sensitivity to parameter changes, and more
Unique to Mathematica -
Easy development of computer simulations of stochastic processes, discrete events, and more using built-in functions such as RandomReal, RandomInteger, and RandomComplex
C/C++, Java, and other programming languages require importing libraries and writing lengthy code for random number generation from continuous and discrete distributions -
Automated precision control and arbitrary precision numerics produce highly accurate results to ill-conditioned problems
Excel, Matlab, and other systems that rely on finite precision numerics can cause serious errors due to lack of precision -
Built-in functionality for constrained and unconstrained optimization, statistical analysis and computation, curve fitting, and a range of other application areas
Matlab requires the purchase of multiple toolboxes -
Easy-to-use parallel computing capabilities for solving computation- or data-intensive problems on multicore computers or grids
Extensive programming is required to parallelize processes in all other systems -
Integrated access to historic and current financial, socioeconomic, geographic, and scientific data immediately suitable for computation
Unique to Mathematica -
Complete workflow, from simulation to analysis to typeset documents or interactive slide shows, in a single document
Unique to Mathematica
Graphically determining the solution of a linear programming problem
Capacity planning for short life cycle products
The Wolfram Edge
How Wolfram Compares
Key Capabilities
Environmental sciences specific capabilities:
- Advanced graph algorithms, including Dijkstra, Kruskal, Bellman-Ford, and more, for network routing applications such as internet congestion control, design of high-speed communication networks, and other applications
- State-of-the-art functionality for network analysis and graph computation, including several graph metrics such as centrality measures, distance measures, and more »
- Efficient random number generation for simulating events, estimating probabilities, numerically testing symbolic results, and more »
- Free-form linguistic input produces immediate results without the need for syntax »
- Instantly create interactive interfaces to examine model sensitivity to parameter changes »
- Built-in functions for solving local and global optimization problems, both numeric and symbolic, including constrained nonlinear optimization »
- High-level support for mathematical model building using calculus, probability, and graph theory
- Linear, nonlinear, logit, probit, generalized linear, and other regression models for statistical analysis »
- Estimation of distribution parameters from data and testing of goodness of fit of data to distributions
- More statistical distributions than any other system, with the ability to define new distributions from data, formulas, or other distributions »
- Solve linear programming problems using simplex, revised simplex, or interior point methods
- Multidimensional optimization problem-solving using automated algorithm selection or user-specified methods such as simulated annealing, Nelder-Mead, differential evolution, and random search »
- Built-in support for parallel processing and GPU computation with CUDA or OpenCL for high-speed, memory-efficient execution
- Generate dynamic reports containing graphics, text, and interactive applications »
- Instantly deploy your interactive models using Wolfram CDF Player or webMathematica
Organizations Using Wolfram Technologies
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Download a Free Trial of Mathematica
Get your free, fully functional, 30-day trial version of Mathematica via download.
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