Affect and Meta-Affect in Mathematical Problem Solving
... ABSTRACT. We discuss a research-based theoretical framework based on affect as an internal representational system. Key ideas include the concepts of meta-affect and affective structures, and the constructs of mathematical intimacy and mathematical integrity. We understand these as fundamental to po ...
... ABSTRACT. We discuss a research-based theoretical framework based on affect as an internal representational system. Key ideas include the concepts of meta-affect and affective structures, and the constructs of mathematical intimacy and mathematical integrity. We understand these as fundamental to po ...
Using Python as a Calculator
... The typical way in which arithmetic operations are executed is: the CPU takes the operands from the memory, evaluates the result by applying the operator on them, and then stores the result back into the memory. The memory can be regarded as a long array of information storage units. Each unit is ca ...
... The typical way in which arithmetic operations are executed is: the CPU takes the operands from the memory, evaluates the result by applying the operator on them, and then stores the result back into the memory. The memory can be regarded as a long array of information storage units. Each unit is ca ...
Case Adaptation by Segment Replanning for Case
... The challenge of most plan adaptation processes is to determine which part of a plan must be adapted in order to achieve a correct solution, guaranteeing its high quality. In a case-based planning domain, a case is a plan and the improvement of the case quality in the STRIPS-version is the reduction ...
... The challenge of most plan adaptation processes is to determine which part of a plan must be adapted in order to achieve a correct solution, guaranteeing its high quality. In a case-based planning domain, a case is a plan and the improvement of the case quality in the STRIPS-version is the reduction ...
Mathematical optimization
In mathematics, computer science and operations research, mathematical optimization (alternatively, optimization or mathematical programming) is the selection of a best element (with regard to some criteria) from some set of available alternatives.In the simplest case, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations comprises a large area of applied mathematics. More generally, optimization includes finding ""best available"" values of some objective function given a defined domain (or a set of constraints), including a variety of different types of objective functions and different types of domains.