Level of Combinatorial Thinking in Solving Mathematical Problems
نویسندگان
چکیده
منابع مشابه
On Solving Combinatorial Optimization Problems
We present a new viewpoint on how some combinatorial optimization problems are solved. When applying this viewpoint to the NP -equivalent traveling salesman problem (TSP), we naturally arrive to a conjecture that is closely related to the polynomialtime insolvability of TSP, and hence to the P −NP conjecture. Our attempt to prove the conjecture has not been successful so far. However, the bypro...
متن کاملCombinatorial problems in solving linear systems
Numerical linear algebra and combinatorial optimization are vast subjects; as is their interaction. In virtually all cases there should be a notion of sparsity for a combinatorial problem to arise. Sparse matrices therefore form the basis of the interaction of these two seemingly disparate subjects. As the core of many of today’s numerical linear algebra computations consists of the solution of...
متن کاملthe effect of using critical discourse analytical tools on the improvement of the learners level of critical thinking in reading comprehension
?it is of utmost priority for an experienced teacher to train the mind of the students, and enable them to think critically and correctly. the most important question here is that how to develop such a crucial ability? this study examines a new way to the development of critical thinking utilizing critical discourse analytical tools. to attain this goal, two classes of senior english la...
Solving Combinatorial Optimization Problems using Distributed Approach
Combinatorial optimization is a way of finding an optimum solution from a finite set of objects. For combinatorial optimization problems, the number of possible solutions grows exponentially with the number of objects. These problems belong to the class of NP hard problems for which probably efficient algorithm does not exist. Using the distributed approach with parallelization these problems c...
متن کاملSolving chance-constrained combinatorial problems to optimality
The aim of this paper is to provide new efficient methods for solving general chance-constrained integer linear programs to optimality. Valid linear inequalities are given for these problems. They are proved to characterize properly the set of solutions. They are based on a specific scenario, whose definition impacts strongly on the quality of the linear relaxation built. A branch-and-cut algor...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal for the Education of Gifted Young Scientists
سال: 2020
ISSN: 2149-360X
DOI: 10.17478/jegys.751038