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263 | 263 | dmp = DefaultManoptProblem(M, ManifoldGradientObjective(f, grad_f)) |
264 | 264 | p = [2.0, 2.0] |
265 | 265 | gds = GradientDescentState(M; p = p) |
266 | | - ds = DistanceOverGradientsStepsize( |
| 266 | + ds = Manopt.DistanceOverGradientsStepsize( |
267 | 267 | M; p = p, initial_distance = 1.0, use_curvature = false |
268 | 268 | ) |
269 | 269 | @test ds.gradient_sum == 0 |
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295 | 295 | dmp = DefaultManoptProblem(M, ManifoldGradientObjective(f, grad_f)) |
296 | 296 | p = [2.0, 2.0] |
297 | 297 | gds = GradientDescentState(M; p = p) |
298 | | - ds = DistanceOverGradientsStepsize( |
| 298 | + ds = Manopt.DistanceOverGradientsStepsize( |
299 | 299 | M; |
300 | 300 | p = p, |
301 | 301 | initial_distance = 1.0, |
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318 | 318 | dmp = DefaultManoptProblem(M, ManifoldGradientObjective(f, grad_f)) |
319 | 319 | p = [1, 0] |
320 | 320 | gds = GradientDescentState(M; p = p) |
321 | | - ds = DistanceOverGradientsStepsize( |
| 321 | + ds = Manopt.DistanceOverGradientsStepsize( |
322 | 322 | M; p = p, initial_distance = 1.0, use_curvature = false |
323 | 323 | ) |
324 | 324 | @test ds.gradient_sum == 0 |
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337 | 337 | dmp = DefaultManoptProblem(M, ManifoldGradientObjective(f, grad_f)) |
338 | 338 | p = [1, 0] |
339 | 339 | gds = GradientDescentState(M; p = p) |
340 | | - ds = DistanceOverGradientsStepsize( |
| 340 | + ds = Manopt.DistanceOverGradientsStepsize( |
341 | 341 | M; |
342 | 342 | p = p, |
343 | 343 | initial_distance = 1.0, |
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367 | 367 |
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368 | 368 | dmp = DefaultManoptProblem(M, ManifoldGradientObjective(f, grad_f)) |
369 | 369 | gds = GradientDescentState(M; p = p) |
370 | | - ds = DistanceOverGradientsStepsize( |
| 370 | + ds = Manopt.DistanceOverGradientsStepsize( |
371 | 371 | M; |
372 | 372 | p = p, |
373 | 373 | initial_distance = 1.0, |
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