Products A B C weekly availability Department 1 2.5 4 2 120 hours Department 2 2 2 160 hours Department 3 3 1 100hours Department 4 2 3 2.5 150hours pounds of raw material per unit5.5 4.0 3.5 500lbs selling price $60 $50 $75 labour cost per unit 20 27 36 material cost per unit 21 8 7 If the objective is to maximize total weekly profit, formulate linear programming model.
PSpice is a program to simulate analog and digital logic circuits, where Matlab is a fully functional programming language designed to plot mathematical functions, implement various algorithms and solve complex mathematical problems.
Yes, this site often can answer mathematical problems. The site however doesn't automatically answer; the members do.
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The mathematical language of symbols, including variables, is a systematic way to represent mathematical concepts and relationships using symbols rather than words. Variables are symbols that stand for unknown values or quantities, allowing for generalization and abstraction in mathematical expressions and equations. This symbolic language facilitates the formulation of mathematical theories and the solving of problems by providing a concise and universal means of communication among mathematicians. It enables complex ideas to be expressed clearly and efficiently, making it easier to manipulate and analyze mathematical relationships.
Verbal methods in math often involve using words to describe mathematical concepts, problems, or solutions. Examples include explaining a mathematical process in a narrative form, using word problems to illustrate equations, and verbally outlining steps taken to solve a problem. Additionally, discussing mathematical reasoning and strategies in a classroom setting can also be considered a verbal method. These approaches help reinforce understanding and communication of mathematical ideas.
Some examples of mathematical problems include solving equations, calculating probabilities, finding the area of shapes, and analyzing data using statistics.
Fred Glover has written: 'Equivalence of Boolean constrained transportation problems to transportation problems' -- subject(s): Algebra, Boolean, Boolean Algebra, Mathematical models, Transportation 'Optimal weighted ancestry relationships' -- subject(s): Mathematical models, Pottery dating, Algorithms, Cemeteries 'Manipulating the branch and bound tree' -- subject(s): Branch and bound algorithms, Integer programming 'Surrogate constraint duality in mathematical programming' -- subject(s): Programming (Mathematics) 'Play Showtime' 'Neglected heuristics in integer programming / by Fred Glover' -- subject(s): Integer programming
Some examples of applied mathematical problems that require real-world solutions include optimizing transportation routes, predicting weather patterns, designing efficient energy systems, analyzing financial markets, and modeling the spread of diseases.
PSpice is a program to simulate analog and digital logic circuits, where Matlab is a fully functional programming language designed to plot mathematical functions, implement various algorithms and solve complex mathematical problems.
Zero-one equations can be used to solve mathematical problems efficiently by representing decision variables as binary values (0 or 1), simplifying the problem into a series of logical constraints that can be easily solved using algorithms like linear programming or integer programming. This approach helps streamline the problem-solving process and find optimal solutions quickly.
The first step would be to read the invisible mathematical problems.
Samuel L. S. Jacoby has written: 'Mathematical modeling with computers' -- subject(s): Digital computer simulation, Mathematical models 'Iterative methods for nonlinear optimization problems' -- subject(s): Iterative methods (Mathematics), Mathematical optimization, Nonlinear programming
In traditional scientific computing, Fortran was considered the most suitable higher programming language for mathematical problems, mostly due to its built-in support for complex numbers and complex arithmetic. Today, most mainstream general-purpose programming languages are supported by very powerful maths libraries, which include support for complex numbers, matrices and other higher order algebraic or geometric problems, or even calculus. Therefore, when choosing a general-purpose programming language for solving a mathematical problem, the decision ought to be driven by the availability of a well-reputed mathematic toolkit with all the tools required, and general familiarity with the chosen language. For higher order mathematic problems, however, the general purpose languages are outperformed by specialist mathematically-minded languages, as are supported with complex mathematical applications such as Mathcad, Mathlab or Mathematica.
Yes, this site often can answer mathematical problems. The site however doesn't automatically answer; the members do.
Throughout history, mathematicians have grappled with problems deemed impossible, such as squaring the circle or solving the quintic equation. These challenges spurred the development of foundational principles and methods, including the formulation of limits, calculus, and abstract algebra. The pursuit of these unsolvable problems often led to breakthroughs that expanded mathematical understanding and innovation. Ultimately, the journey through impossibility has enriched the discipline, revealing the depths and nuances of mathematical thought.
Fifth-generation programming languages (5GL) focus on solving problems using constraints rather than through explicit programming. Examples include Prolog, which is used in artificial intelligence for logical programming, and Mercury, designed for high-performance logic programming. Other examples are SQL for database query languages and various domain-specific languages tailored for specific applications, such as MATLAB for numerical computing. These languages emphasize problem-solving and automate much of the coding process.
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