19.1A). This results in a 73% improvement in the number of iterations needed to solve the problem. Having faster solutions for algorithmic trading needs is essential. Newton's Method Nonlinear convergence techniques are not new to any reader who has taken a course in calculus or its ...
Theorems and definitions are clearly explained with numerous exercises to complement the text and to help the student better understand and master the principles of mathematical economics.doi:10.1142/6630Hoag JohnHoag, J. (2008) Calculus and Techniques of Optimization with Microeconomic Applications, ...
In order to construct the controller to meet particular system needs, an additional freedom is provided by the fractional order calculus. The construction and design philosophy of the FOT2F-FOPD controller are illustrated in this section. The T2F-FOPI controller structure was derived from the ...
For greater economy and elegance, optimal control theory is introduced directly, without recourse to the calculus of variations. The connection with the latter and with dynamic programming is explained in a separate chapter. A second purpose of the book is to draw the parallel between optimal ...
In particular, the term is used for such procedures for finding whether—in a particular logistic system, logical calculus, or formal mathematical system—some given “well-formed formula” (generated in accordance with established formation rules) is or is not provable as a theorem of the system...
(Fractional Calculus) has been supplied. The Fractional-order Calculus (FC) is recently proposed as a useful tool for improving the performance of meta-heuristic algorithms32. The FC technique proposed a well-organized assessment of the process, memory, and inherited traits. As a result, the FC...
The purpose of this article is to show the great interest of theuse of propagation (or pruning) techniques, inside classicalinterval Branch-and-Bound algorithms. Therefore, a propagationtechnique based on the construction of the calculus tree isentirely
The execution time spent on each section of the program, the percentage of time required for the geodesic pathway calculus and the percentage of PVJs connected in each step were calculated and are presented in Tables 3 and 4 . The method was divided into four phases: the main loop and ...
Big Data is centered on very large datasets and a sample illustration is presented in Fig. 1. As explained in [3], dealing with a huge amount of data requires specific architectures both for hardware (e.g. cloud computers) and for software (e.g. graph database servers). Though many the...
Moreover, the use of differential calculus makes proving properties really simple (see examples below). We can thus focus on the essence of the algorithm rather than on technicalities. From (continuous) flow to actual (discrete) algorithms. A flow cannot be run on a computer as it is a ...