Implementasi Dan Analisis Tingkat Akurasi Software Penyelesaian Persamaan Non Linier Dengan Metode Fixed Point Iteration Dan Metode Bisection

This study aims to build the software solution of non-linear equations by the method of Bisection and Fixed Point Iteration, revealed that the software non-linear equations have been carried out through five stages, namely: (1) Engineering systems modeling (2) needs analysis software, (3) create a design (4) code generation, (5) conduct testing and implementation using the programming languages C # (C-Sharp). Validator research have 4 experts in the field of both matter and media. Data analysis using descriptive analysis techniques. Settlement of one case of non-linear equations assessed the average time it takes not too long because the turnaround time less than 1 second. Judging from the fault tolerance, the number of iterations and the average time it takes the Bisection method is better than the fixed point iteration method. Overall in terms of both content and media, that any assessment of the software is considered good and decent that can be used lecturers taught courses in numerical methods, specially methods Bisection and Fixed Point iteration

Fuzzy linear programs with optimal tolerance levels

It is usually supposed that tolerance levels are determined by the decision maker a priori in a fuzzy linear program (FLP). In this paper we shall suppose that the decision maker does not care about the particular values of tolerance levels, but he wishes to minimize their weighted sum. This is a new statement of FLP, because here the tolerance levels are also treated as variables

IMPLEMENTASI DAN ANALISIS TINGKAT AKURASI SOFTWARE PENYELESAIAN PERSAMAAN NON LINIER DENGAN METODE FIXED POINT ITERATION DAN METODE BISECTION

This study aims to build the software solution of non-linear equations by the method of Bisection and Fixed Point Iteration, revealed that the software non-linear equations have been carried out through five stages, namely: (1) Engineering systems modeling (2) needs analysis software, (3) create a design (4) code generation, (5) conduct testing and implementation using the programming languages C # (C-Sharp). Validator research have 4 experts in the field of both matter and media. Data analysis using descriptive analysis techniques. Settlement of one case of non-linear equations assessed the average time it takes not too long because the turnaround time less than 1 second. Judging from the fault tolerance, the number of iterations and the average time it takes the Bisection method is better than the fixed point iteration method. Overall in terms of both content and media, that any assessment of the software is considered good and decent that can be used lecturers taught courses in numerical methods, specially methods Bisection and Fixed Point iteration

Timing Analysis of TDMA-based Networks using Network Calculus and Integer Linear Programming

For distributed safety-critical systems, such as avionics and automotive, shared networks represent a bottleneck for timing predictability, a key issue to fulfill certification requirements. To control interferences on such shared resources and guarantee bounded delays, the Time Division Multiple Access (TDMA) protocol is considered as one of the most interesting arbitration protocols due to its deterministic timing behavior and fault-tolerance features. This paper addresses the problem of computing the worst-case end-to-end delay bounds for traffic flows sharing a TDMA-based network using Network Calculus. First, we extend classic timing analysis to integrate the impact of non-preemptive message transmission and various service policies in end-systems, e.g., First In First Out (FIFO), Fixed Priority (FP) and Weighted Round Robin (WRR). Afterwards, the proposed models are refined using Integer Linear Programming (ILP) to obtain tighter end-to-end delay bounds. Finally, this general analysis is illustrated and validated in the case of a TDMA-based Ethernet network for I/O avionics applications. Results show the efficiency of the proposed models to provide stronger guarantees on system schedulability, compared to classic models