system of nonlinear equations造句
例句與造句
- Levenberg - marquardt method is one of the most important methods for solving systems of nonlinear equations
Levenberg - marquardt方法是求解非線性方程組的最重要的方法之一。 - It is well - known that when solving a system of nonlinear equations , the damped newton method is globally and superlinearly / quadratically convergent
求解非線性方程組的阻尼newton法不僅具有快速收斂的特點(diǎn)，而且有全局收斂性。 - Numerical computations show that the approach has global searching capability and can give satisfactory solutions , especially for the system of nonlinear equations , which is sensitive to the variables
數(shù)值計(jì)算結(jié)果表明此方法具有全局搜索性，特別是，它能夠以滿意的精度求出對(duì)未知數(shù)具有敏感性的非線性方程組的解。 - With the basis of the system of nonlinear equations which is established by minimizing the error quadratic sum of theoretical and actual shaded value of the points on the typical surface , the parameters of the illumination models can be firstly determined by means of the least - square procedure
首先，以典型曲面上各點(diǎn)的理論灰度值與實(shí)測(cè)灰度值的誤差平方和最小為目標(biāo)建立非線性方程組，以非線性最小二乘理論為基礎(chǔ)，通過解非線性方程組確定光照模型各個(gè)參數(shù)值。 - Then a new system of nonlinear equations can be formed from the variation gray of same point in multiple images and the optimum solution of the system can be obtained from gauss - newton and levenberg - marquardt algorithms , so that the normal vector at that point of the surface can be defined
再根據(jù)多幅圖像上固定位置一點(diǎn)的灰度值變化列多個(gè)非線性方程，以gauss - newton算法和levenberg - marquardt算法為基礎(chǔ)求非線性方程組的最優(yōu)近似解，將選取點(diǎn)的法向量確定下來。 - It's difficult to find system of nonlinear equations in a sentence. 用system of nonlinear equations造句挺難的
- A complex particle swarm optimization ( cpso ) algorithm , which combines the advantages of method of complex ( mc ) and particle swarm optimization ( pso ) , is put forward to solve systems of nonlinear equations , and it can be used to overcome the difficulty in selecting good initial guess for newton ' s method and the inaccuracy of mc and pso due to being easily trapped into local minima for solving systems of nonlinear equations
摘要結(jié)合復(fù)形法與粒子群算法的優(yōu)點(diǎn)，提出粒子群復(fù)形法，用于求解非線性方程組，以克服牛頓法初始點(diǎn)不易選擇的問題，同時(shí)克服復(fù)形法與粒子群算法由于易陷入局部極值而導(dǎo)致方程組的解的精度不夠的不足。 - With the basis of nonlinear least squares theory , the system of nonlinear equations is established by minimizing the error quadratic sum of theoretical and actual gray level of the points on the typical surface , and the parameters of the illumination models can be determined by means of the least - squares procedure
以非線性最小二乘理論為基礎(chǔ)，以典型曲面上各點(diǎn)的理論灰度值與實(shí)測(cè)灰度值的誤差平方和最小為目標(biāo)建立非線性方程組，通過求解非線性方程組來確定光照模型的各個(gè)光照參數(shù)。 - A new system of nonlinear equations can be formed from the variation gray of same point in multiple images and the optimum solution of the system can be obtained , so that the normal vector at that point of the surface can be defined . then we can get the surface height at the point by applying composite numerical integration . according to variational calculus and finite difference method , the fitted surface is further iterated and modified , so the reconstruction error can be reduced
根據(jù)多幅圖像上固定位置一點(diǎn)灰度值的變化列多個(gè)非線性方程，通過求解該非線性方程組，確定出各選取點(diǎn)的法向量；然后通過復(fù)化積分確定選取點(diǎn)的高度值，并利用變分和有限差分思想對(duì)所得表面進(jìn)行進(jìn)一步的迭代和修正，以減小重構(gòu)誤差。