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/petsc/doc/
H A Drequirements.txt5 sphinx-design==0.6.0
18 sphinx-design
H A Dpetsc.bib7183 title = {A numerical method for inverse design based on the inverse Euler equations},
8668 title = {{PETSc's} software strategy for the design space of composable extreme-scale
9105 key = {GroppSmith96 ! KSP design},
9207 % LiteralHTML: <a name="algorithm"><H3><center>Algorithm design and analysis</center></H3>
11465 applications in the design of robust stepsize and order changing strategies for
12694 title = {Coupled {CFD/CSM} vibration design methodology for generation {IV} long-life fuel
12695 and component design},
15015 title = {The design of {T}rilinos},
15919 design},
16285 software design. It describes patterns for managing object creation, composing
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/petsc/doc/developers/
H A Ddesign.md1 (design)=
H A Dindex.md19 design
H A Darticles.md3 Many articles have been written about the design of PETSc. We mention
H A Dcommunication.md17 Comments and questions regarding PETSc design and development should go to <mailto:petsc-dev@mcs.an…
H A Dcallbacks.md16 This convoluted design is to support multilevel and multidomain solvers
H A Dbuildsystem.md35 from scratch. Below we list features and design considerations which lead us to prefer
70 tools. In fact, the design of these tools inhibits this kind of check.
/petsc/doc/manual/
H A Dabout_this_manual.md23 enable efficient software use. However, the power of the PETSc design
H A Dregressor.md40 In the simplest usage of a regressor, the user provides a training (or "design") matrix
H A Ddmstag.md16 `DMSTAG` is design to behave much
H A Dgetting_started.md28 This design enables easy comparison and use of different
32 as for rapid algorithm design and prototyping.
75 details of PETSc design.
H A Dtao.md636 the design variable $v$, and $f$ is an objective function.
648 combine the design and state variables together in a monolithic solution vector
657 state variables and the second IS the design variables.
726 context. Since no solve is performed with the design Jacobian, there is
2152 the design variable $v$, and $f$ is an objective function.
2193 The Newton direction is obtained by fixing the design variables at their
H A Dsnes.md27 further in {any}`sec_nlsolvers`. Following the PETSc design
H A Dvec.md782 information (or, in other words, can share a given `DM`). The design
/petsc/src/tao/pde_constrained/tutorials/
H A Dparabolic.c73 PetscErrorCode Gather(Vec x, Vec state, VecScatter s_scat, Vec design, VecScatter d_scat);
74 PetscErrorCode Scatter(Vec x, Vec state, VecScatter s_scat, Vec design, VecScatter d_scat);
612 PetscErrorCode Scatter(Vec x, Vec state, VecScatter s_scat, Vec design, VecScatter d_scat) in Scatter() argument
617 PetscCall(VecScatterBegin(d_scat, x, design, INSERT_VALUES, SCATTER_FORWARD)); in Scatter()
618 PetscCall(VecScatterEnd(d_scat, x, design, INSERT_VALUES, SCATTER_FORWARD)); in Scatter()
634 PetscErrorCode Gather(Vec x, Vec state, VecScatter s_scat, Vec design, VecScatter d_scat) in Gather() argument
639 PetscCall(VecScatterBegin(d_scat, design, x, INSERT_VALUES, SCATTER_REVERSE)); in Gather()
640 PetscCall(VecScatterEnd(d_scat, design, x, INSERT_VALUES, SCATTER_REVERSE)); in Gather()
H A Dhyperbolic.c68 PetscErrorCode Gather(Vec x, Vec state, VecScatter s_scat, Vec design, VecScatter d_scat);
69 PetscErrorCode Scatter(Vec x, Vec state, VecScatter s_scat, Vec design, VecScatter d_scat);
601 PetscErrorCode Scatter(Vec x, Vec state, VecScatter s_scat, Vec design, VecScatter d_scat) in Scatter() argument
606 PetscCall(VecScatterBegin(d_scat, x, design, INSERT_VALUES, SCATTER_FORWARD)); in Scatter()
607 PetscCall(VecScatterEnd(d_scat, x, design, INSERT_VALUES, SCATTER_FORWARD)); in Scatter()
625 PetscErrorCode Gather(Vec x, Vec state, VecScatter s_scat, Vec design, VecScatter d_scat) in Gather() argument
630 PetscCall(VecScatterBegin(d_scat, design, x, INSERT_VALUES, SCATTER_REVERSE)); in Gather()
631 PetscCall(VecScatterEnd(d_scat, design, x, INSERT_VALUES, SCATTER_REVERSE)); in Gather()
/petsc/doc/developers/contributing/
H A Dindex.md9 be interested to read about {any}`design`.
/petsc/src/binding/petsc4py/docs/source/
H A Doverview.rst17 careful design allows advanced users to have detailed control over the
/petsc/doc/community/meetings/2025/
H A Dindex.md160 …structure interaction have recently begun to augment physical models for design studies, particula…
216 pyop3 is built on top of PETSc, wrapping many of its data types, and the design of the new data lay…
228 … PETSc. This scaling analysis is a crucial part for a guidance to better design efficient algorith…
238 …e behavior of nuclear reactors during operation, transients, design basis and beyond design basis …
/petsc/share/petsc/datafiles/meshes/
H A Dnozzle.stp562 #480=DESIGN_CONTEXT('',#487,'design');
/petsc/src/binding/petsc4py/src/petsc4py/PETSc/
H A DTAO.pyx650 def setStateDesignIS(self, IS state=None, IS design=None) -> None: argument
651 """Set the index sets indicating state and design variables.
662 if design is not None: d_is = design.iset
691 """Set Jacobian design callback.
/petsc/doc/faq/
H A Dindex.md145 2. **We are very careful in our design (and are constantly revising our design)**
153 design. We will never keep in a bad design decision simply because changing it will
156 4. **We constantly seek out and experiment with new design ideas**
350 For example, the careful design of communicators in MPI allows the easy nesting of
352 major parallel computer vendors were involved in the design of MPI and have committed to
/petsc/doc/community/meetings/2023/
H A Dindex.md645 design basis and beyond design basis accidents up to radioactive releases