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// Copyright 2021 DeepMind Technologies Limited
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#ifndef MUJOCO_SRC_ENGINE_ENGINE_UTIL_SOLVE_H_
#define MUJOCO_SRC_ENGINE_ENGINE_UTIL_SOLVE_H_
#include <mujoco/mjdata.h>
#include <mujoco/mjexport.h>
#include <mujoco/mjmodel.h>
#ifdef __cplusplus
extern "C" {
#endif
// Cholesky decomposition: mat = L*L'; return rank
MJAPI int mju_cholFactor(mjtNum* mat, int n, mjtNum mindiag);
// Cholesky solve
MJAPI void mju_cholSolve(mjtNum* res, const mjtNum* mat, const mjtNum* vec, int n);
// Cholesky rank-one update: L*L' +/- x*x'; return rank
MJAPI int mju_cholUpdate(mjtNum* mat, mjtNum* x, int n, int flg_plus);
// sparse reverse-order Cholesky decomposition: mat = L'*L; return 'rank'
// mat must be lower-triangular, have preallocated space for fill-in
int mju_cholFactorSparse(mjtNum* mat, int n, mjtNum mindiag,
int* rownnz, const int* rowadr, int* colind,
mjData* d);
// precount row non-zeros of reverse-Cholesky factor L, return total
MJAPI int mju_cholFactorCount(int* L_rownnz, const int* rownnz, const int* rowadr,
const int* colind, int n, mjData* d);
// sparse reverse-order Cholesky solve
void mju_cholSolveSparse(mjtNum* res, const mjtNum* mat, const mjtNum* vec, int n,
const int* rownnz, const int* rowadr, const int* colind);
// sparse reverse-order Cholesky rank-one update: L'*L +/i x*x'; return rank
// x is sparse, change in sparsity pattern of mat is not allowed
int mju_cholUpdateSparse(mjtNum* mat, mjtNum* x, int n, int flg_plus,
const int* rownnz, const int* rowadr, const int* colind,
int x_nnz, int* x_ind, mjData* d);
// band-dense Cholesky decomposition
// returns minimum value in the factorized diagonal, or 0 if rank-deficient
// mat has (ntotal-ndense) x nband + ndense x ntotal elements
// the first (ntotal-ndense) x nband store the band part, left of diagonal, inclusive
// the second ndense x ntotal store the band part as entire dense rows
// add diagadd+diagmul*mat_ii to diagonal before factorization
MJAPI mjtNum mju_cholFactorBand(mjtNum* mat, int ntotal, int nband, int ndense,
mjtNum diagadd, mjtNum diagmul);
// solve (mat*mat')*res = vec with band-Cholesky decomposition
MJAPI void mju_cholSolveBand(mjtNum* res, const mjtNum* mat, const mjtNum* vec,
int ntotal, int nband, int ndense);
// convert banded matrix to dense matrix, fill upper triangle if flg_sym>0
MJAPI void mju_band2Dense(mjtNum* res, const mjtNum* mat, int ntotal, int nband, int ndense,
mjtByte flg_sym);
// convert dense matrix to banded matrix
MJAPI void mju_dense2Band(mjtNum* res, const mjtNum* mat, int ntotal, int nband, int ndense);
// multiply band-diagonal matrix with vector, include upper triangle if flg_sym>0
MJAPI void mju_bandMulMatVec(mjtNum* res, const mjtNum* mat, const mjtNum* vec,
int ntotal, int nband, int ndense, int nvec, mjtByte flg_sym);
// address of diagonal element i in band-dense matrix representation
MJAPI int mju_bandDiag(int i, int ntotal, int nband, int ndense);
// sparse reverse-order LU factorization, no fill-in (assuming tree topology)
// LU = L + U; original = (U+I) * L; scratch is size n
void mju_factorLUSparse(mjtNum *LU, int n, int* scratch,
const int *rownnz, const int *rowadr, const int *colind);
// solve mat*res=vec given LU factorization of mat
void mju_solveLUSparse(mjtNum *res, const mjtNum *LU, const mjtNum* vec, int n,
const int *rownnz, const int *rowadr, const int* diag, const int *colind);
// eigenvalue decomposition of symmetric 3x3 matrix
MJAPI int mju_eig3(mjtNum eigval[3], mjtNum eigvec[9], mjtNum quat[4], const mjtNum mat[9]);
// solve QCQP in 2 dimensions:
// min 0.5*x'*A*x + x'*b s.t. sum (xi/di)^2 <= r^2
// return 0 if unconstrained, 1 if constrained
MJAPI int mju_QCQP2(mjtNum* res, const mjtNum* Ain, const mjtNum* bin, const mjtNum* d, mjtNum r);
// solve QCQP in 3 dimensions:
// min 0.5*x'*A*x + x'*b s.t. sum (xi/di)^2 <= r^2
// return 0 if unconstrained, 1 if constrained
MJAPI int mju_QCQP3(mjtNum* res, const mjtNum* Ain, const mjtNum* bin, const mjtNum* d, mjtNum r);
// solve QCQP in n<=5 dimensions:
// min 0.5*x'*A*x + x'*b s.t. sum (xi/di)^2 <= r^2
// return 0 if unconstrained, 1 if constrained
int mju_QCQP(mjtNum* res, const mjtNum* Ain, const mjtNum* bin, const mjtNum* d, mjtNum r, int n);
// solve box-constrained Quadratic Program
// min 0.5*x'*H*x + x'*g s.t. lower <= x <=upper
// return rank of unconstrained subspace or -1 on failure
MJAPI int mju_boxQP(mjtNum* res, mjtNum* R, int* index,
const mjtNum* H, const mjtNum* g, int n,
const mjtNum* lower, const mjtNum* upper);
// allocate memory for box-constrained Quadratic Program
MJAPI void mju_boxQPmalloc(mjtNum** res, mjtNum** R, int** index,
mjtNum** H, mjtNum** g, int n,
mjtNum** lower, mjtNum** upper);
// minimize 0.5*x'*H*x + x'*g s.t. lower <= x <=upper, explicit options (see implementation)
MJAPI int mju_boxQPoption(mjtNum* res, mjtNum* R, int* index,
const mjtNum* H, const mjtNum* g, int n,
const mjtNum* lower, const mjtNum* upper,
int maxiter, mjtNum mingrad, mjtNum backtrack,
mjtNum minstep, mjtNum armijo,
char* log, int logsz);
#ifdef __cplusplus
}
#endif
#endif // MUJOCO_SRC_ENGINE_ENGINE_UTIL_SOLVE_H_