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src/a/l/algopy-HEAD/experimental/examples/q_robust_OED.py   algopy(Download)
sys.path = ['..'] + sys.path
from algopy import *
import adolc
import numpy.random
import scipy.optimize

src/a/l/algopy-HEAD/experimental/examples/q-robust-OED.py   algopy(Download)
sys.path = ['..'] + sys.path
from algopy import *
import adolc
import numpy.random
import scipy.optimize

src/a/l/algopy-HEAD/experimental/examples/newtons_method.py   algopy(Download)
sys.path = ['..'] + sys.path
from matrix_ad import *
import adolc
import numpy.random
import scipy.optimize

src/a/l/algopy-HEAD/experimental/examples/gradient_of_optimal_experimental_design_objective_function.py   algopy(Download)
sys.path = ['..'] + sys.path
from matrix_ad import *
import adolc
import numpy.random
import scipy.optimize

src/a/l/algopy-HEAD/documentation/AD_tutorial_TU_Berlin/example5_code_tracing_with_pyadolc.py   algopy(Download)
import numpy; from numpy import sin,cos; import adolc
def f(x):
    return sin(x[0] + cos(x[1])*x[0])
 
adolc.trace_on(1)

src/a/l/algopy-0.5.1/documentation/AD_tutorial_TU_Berlin/example5_code_tracing_with_pyadolc.py   algopy(Download)
import numpy; from numpy import sin,cos; import adolc
def f(x):
    return sin(x[0] + cos(x[1])*x[0])
 
adolc.trace_on(1)

src/p/y/pyadolc-HEAD/examples/using_pyadolc_with_pyipopt.py   pyadolc(Download)
 
import numpy, scipy, scipy.sparse
import adolc, pyipopt, time
from numpy.testing import *
 

src/p/y/pyadolc-HEAD/examples/sparse_jacobi_matrix.py   pyadolc(Download)
import adolc
import numpy
 
M,N = 4,2
 

src/p/y/pyadolc-HEAD/examples/qr_decomposition.py   pyadolc(Download)
from adolc import *
import adolc
import adolc.linalg
from numpy import *
 

src/p/y/pyadolc-HEAD/examples/explicit_euler.py   pyadolc(Download)
#!/usr/bin/env python
 
from numpy import *
from pylab import *
import adolc

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