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************************************* Don't copy past from Chat gpt or any other AI bot otherwise directly report with dislike*************** already 2-3 question I have wasted on those guy and also reported them , please don't pick if you don't know to solve find the code for conjugate gradient along with steepest descent. Since CG is minimizing f(x) = 1/2 x^TAx - x^Tb It is interesting to look at the contours of f(x) for various b values. In case of 2 by 2 matrices with one positive and one negative eigenvalue the f(x) becomes like a saddle. (like Lays chips). In case of higher dimensions it will be much more complicated. The unique extrema (solution x0 with Ax0 = b , f(x0)) is maxima from some directions and minima from some other directions. and provide diagram of conjugate gradient and projects mathematical report I need picture of plot too with code its urgent and please don't copy paste wrong answer and leave the question if you don't know the solution otherwise i'll report provide the code with running plot of conjugate gradient......

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************************************* Don't copy past from Chat gpt or any other AI bot otherwise directly report with dislike*************** already 2-3 question I have wasted on those guy and also reported them , please don't pick if you don't know to solve find the code for conjugate gradient along with steepest descent. Since CG is minimizing f(x) = 1/2 x^TAx - x^Tb It is interesting to look at the contours of f(x) for various b values. In case of 2 by 2 matrices with one positive and one negative eigenvalue the f(x) becomes like a saddle. (like Lays chips). In case of higher dimensions it will be much more complicated. The unique extrema (solution x0 with Ax0 = b , f(x0)) is maxima from some directions and minima from some other directions. and provide diagram of conjugate gradient and projects mathematical report I need picture of plot too with code its urgent and please don't copy paste wrong answer and leave the question if you don't know the solution otherwise i'll report provide the code with running plot of conjugate gradient.....

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Dont copy past from Chat gpt .pdf

  • 1. ************************************* Don't copy past from Chat gpt or any other AI bot otherwise directly report with dislike*************** already 2-3 question I have wasted on those guy and also reported them , please don't pick if you don't know to solve find the code for conjugate gradient along with steepest descent. Since CG is minimizing f(x) = 1/2 x^TAx - x^Tb It is interesting to look at the contours of f(x) for various b values. In case of 2 by 2 matrices with one positive and one negative eigenvalue the f(x) becomes like a saddle. (like Lays chips). In case of higher dimensions it will be much more complicated. The unique extrema (solution x0 with Ax0 = b , f(x0)) is maxima from some directions and minima from some other directions. and provide diagram of conjugate gradient and projects mathematical report I need picture of plot too with code its urgent and please don't copy paste wrong answer and leave the question if you don't know the solution otherwise i'll report provide the code with running plot of conjugate gradient.....