• # CGIST

• Referenced in 1 article [sw26995]
• implicitly perform subspace optimization using the conjugate gradient method. More details on this method ... paper High-Order Methods for Sparse Signal Recovery...
• # ParNes

• Referenced in 12 articles [sw08366]
• ParNes: A rapidly convergent algorithm for accurate recovery of sparse and approximately sparse signals ... rely on Nesterov’s accelerated proximal gradient method, which takes $O(sqrt {1/varepsilon })$ iterations...
• # JiffyTune

• Referenced in 6 articles [sw11681]
• choices of objective functions and constraints, and recovery from nonworking circuits. In addition, the tool ... circuit schematic. Particularly for large circuits, gradient computation is usually the bottleneck in the optimization...
• # ORESD

• Referenced in 7 articles [sw04966]
• technique presented here is named operator recovery error source detector (ORESD). Its main features ... applied to two tutorial examples: divergence and gradient. With the aid of the two examples ... elliptic problems. In all examples the operator recovery error source detector succeeds in detecting...
• # qMTLab

• Referenced in 1 article [sw31372]
• most widely used qMTI methods: MT spoiled gradient echo (MT‐SPGR), MT balanced steady‐state ... free precession (MT‐bSSFP), and selective inversion recovery with fast spin echo (SIR‐FSE). qMTLab...

• Referenced in 2 articles [sw38851]
• time feature is the hit rate gradient of the flow table. We first extract ... attack. Then either a defense or recovery action will be taken. We test our scheme...
• # CHaMP

• Referenced in 1 article [sw39356]
• habitat conditions and also represent a temporal gradient of expected change in condition through planned ... spatial scale of the Technical Recovery Team (TRT) populations with the intention for inference...