Dynamical Systems Theory
Dynamical systems theory is an area of mathematics accustomed to describe the habits of complex dynamical techniques, usually by using differential equations as well as…
Mathematic
Sequential Pattern Mining
There are many key traditional computational problems addressed in Sequential Pattern Mining. These include things like building efficient data source and indexes intended for sequence…
Memory Prediction Framework
The memory prediction framework gives a unified basis for taking into consideration the adaptive control regarding complex behavior. Although certain mind structures are referred to…
Dynamical System
The idea of a dynamical system has its beginnings in Newtonian technicians. A dynamical system is a set of relationships among some measurable quantities, where…
Avalanche Effect
In cryptography, the avalanche effect describes a desirable residence of cryptographic algorithms, usually block ciphers as well as cryptographic hash features. In the scenario of…
Quantum Chaos
Quantum chaos is a branch of physics which in turn studies how chaotic classical dynamical systems could be described with regard to quantum theory. The…
Chaos Theory
Chaos theory concerns deterministic devices whose behavior can certainly in principle become predicted. The period of time for which the behavior of any chaotic system…
Catastrophe Theory
Catastrophe theory originated with the work of the French mathematician René Thom inside 1960s. It considers the special case in which the long-run stable equilibrium…
Material Failure Theory
In mathematical terms, material failure theory is expressed available as various failure criteria which might be valid for unique materials. Failure conditions are functions throughout…
Mathematical Optimization
In primary case, an optimization problem involves maximizing or minimizing an actual function by methodically choosing input values from within the allowed set and computing…
Finite Element Method
In mathematics, the finite element method (FEM) is a numerical technique intended for finding approximate solutions to boundary value problems for partial differential equations. It…
Stochastic Programming
In the field of mathematical optimization, stochastic programming is a framework for modeling optimization conditions that involve uncertainty. Whereas deterministic optimization troubles are formulated together…
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