An algorithm, based on Monte Carlo techniques, is presented for the design and analysis of a crystal controlled oscillator. A digital computer simulates the oscillator as its circuit components change in accordance wi...
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An algorithm, based on Monte Carlo techniques, is presented for the design and analysis of a crystal controlled oscillator. A digital computer simulates the oscillator as its circuit components change in accordance with their probability distributions. Selection of the final oscillator design is based on the probability of circuit failure as calculated by the computer. This method should yield improved frequency stability and reduced cost compared with results obtained from conventional design methods.
A method is presented for the limit analysis of indeterminate space trusses utilizing the static equilibrium equation and linear programming techniques. Special emphasis is given to obtaining collapse loads for self-s...
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A method is presented for the limit analysis of indeterminate space trusses utilizing the static equilibrium equation and linear programming techniques. Special emphasis is given to obtaining collapse loads for self-supporting lattice transmission towers. A piece-wise step-by-step linear solution employing the stiffness matrixhas been the usual way of handling this problem. The static equilibrium equation has several advantages over the stiffness matrix equation for limit analysis: a direct solution can be obtained in one step; tension onlymembers can be given zero compression capacities; and spatially unstable joints can be stabilized by assigning zero capacity members to them. A very efficient computer program was written by rewriting the linear programming equality constraints in a condensed form and exploiting its sparsity (zero terms). Example problems with the computer program are discussed to demonstrate the analysis method. Potential application of the general theory to the design problem may have substantial advantages over current methods.
The pattern matching problem remains in survival since past decades and becomes more sophisticated due to exponential increase in size of text databases. An effective deterministic classical algorithm is always expect...
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The pattern matching problem remains in survival since past decades and becomes more sophisticated due to exponential increase in size of text databases. An effective deterministic classical algorithm is always expected to be at least O (N) time. Quantum computations are enough capable of performing exponential operations in single step of execution, so the quantum algorithms are effective. In general, the quantum pattern matching solution is possible in O (root N) time as its design is based on Grover's quantum search algorithm. To our knowledge, quantum algorithms for single pattern matching are available with limitations, and no algorithm has designed for multiple pattern matching. The main objective is to design quantum algorithm for both single and multiple patterns on a processing architecture of quantum random access memory (QuRAM). This gives a significant advantage to process large text databases in an efficient manner. Our complexity analysis justifies that the quantum algorithmic solutions achieve computational speedup over classical methods. We summarize the emergence of quantum-based pattern matching algorithms to process biological applications. The simulation is additionally done to validate and analyze the performance of proposed quantum algorithms. Lastly, we justify that our algorithms outperform the classical and quantum solutions and they are competent for implementing over quantum computer.
This paper considers the use of sensitivity and error analysisalgorithms for combined estimation and control systems to conduct trade-off studies for sensor equipment packages for a simple longitudinal inal motion VT...
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This paper considers the use of sensitivity and error analysisalgorithms for combined estimation and control systems to conduct trade-off studies for sensor equipment packages for a simple longitudinal inal motion VTOL hover controller. Simulation results indicate that in many problems the extra effort expended in model identification ation is justified in order to reduce the sensitivity of the system performance to implementation tolerances. The results of the hover controller design problem demonstrate the use of the algorithms as an aid in design decision making.
The aim of this paper is to discuss the reliability of a new algorithm based on the augmented Lagrangian method (ALM) coupled with the boundary element method (BEM) for design optimization in electromagnetics. These m...
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The aim of this paper is to discuss the reliability of a new algorithm based on the augmented Lagrangian method (ALM) coupled with the boundary element method (BEM) for design optimization in electromagnetics. These methods, implemented as a computer code, have been applied for the solution of electrostatic problems. Two analytical problems are considered and the convergence of the ALM for different starting points has been noted. Also, the algorithm is robust with respect to the number of design variables. Moreover, two electrostatic problems have been solved and the efficiency of the ALM coupled with the BEM has been observed.
The above paper(1) has considered the design of a finite-bit power-of-two quantizer algorithm when identifying the parameters of a time-invariant plant. This letter presents the design equations of the above algorithm...
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The above paper(1) has considered the design of a finite-bit power-of-two quantizer algorithm when identifying the parameters of a time-invariant plant. This letter presents the design equations of the above algorithm when the plant parameters are randomly time-varying.
Gradient techniques which use a weighting matrix to accelerate convergence are shown to be bilinear in the neighborhood of the extremum, while the gradient method itself behaves as a linear system. An investigation of...
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Gradient techniques which use a weighting matrix to accelerate convergence are shown to be bilinear in the neighborhood of the extremum, while the gradient method itself behaves as a linear system. An investigation of their reachable sets at the extremum provides a basis for explaining the improved performance experienced in practice. Using concepts from bilinear control theory, two new algorithms are designed which achieve further improvements in performance.
A contemporary system building design notation was adopted for the engineering of TRIUMF's new VAX-based data acquisition and analysis system. The requirements of automated systems' design notations are discus...
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A contemporary system building design notation was adopted for the engineering of TRIUMF's new VAX-based data acquisition and analysis system. The requirements of automated systems' design notations are discussed and the elements of the chosen notation described. Finally the group's experience in designing a data acquisition system with these techniques is presented.
The design and analysis of algorithms is one of the two essential cornerstone topics in computer science. However, some students think it hard to grasp and often learn by rote, thus they usually can't improve thei...
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ISBN:
(纸本)9781424435197
The design and analysis of algorithms is one of the two essential cornerstone topics in computer science. However, some students think it hard to grasp and often learn by rote, thus they usually can't improve their ability of algorithmdesign and algorithmanalysis. To address the problem, we advocate the incorporation of formal derivation into the design and analysis of algorithms. Formal algorithm derivation is valuable in revealing wonderful ideas behind algorithm, and ensuring resultant algorithm correctness. It would be helpful in showing where the algorithmic ideas come, thus enable the improvement of students' understanding and study. The detailed teaching design is presented in the paper.
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