README.md

@@ -11,6 +11,11 @@ Bintray-dev:    [ ![Download](https://api.bintray.com/packages/mipt-npm/dev/kmat
 Could be pronounced as `key-math`.
 The Kotlin MATHematics library is intended as a Kotlin-based analog to Python's `numpy` library. In contrast to `numpy` and `scipy` it is modular and has a lightweight core.
 
+## Publications
+* [A conceptual article about context-oriented design](https://proandroiddev.com/an-introduction-context-oriented-programming-in-kotlin-2e79d316b0a2)
+* [Another article about context-oriented design](https://proandroiddev.com/diving-deeper-into-context-oriented-programming-in-kotlin-3ecb4ec38814)
+* [ACAT 2019 conference paper](https://aip.scitation.org/doi/abs/10.1063/1.5130103)
+
 # Goal
 * Provide a flexible and powerful API to work with mathematics abstractions in Kotlin-multiplatform (JVM and JS for now and Native in future). 
 * Provide basic multiplatform implementations for those abstractions (without significant performance optimization).

kmath-core/README.md

@@ -1,4 +1,4 @@
-# The Core Module (`kmath-ast`)
+# The Core Module (`kmath-core`)
 
 The core features of KMath:
 

kmath-memory/src/commonMain/kotlin/scientifik/memory/Memory.kt

@@ -83,9 +83,12 @@ interface MemoryReader {
 /**
  * Uses the memory for read then releases the reader.
  */
-inline fun Memory.read(block: MemoryReader.() -> Unit) {
+inline fun <R> Memory.read(block: MemoryReader.() -> R): R {
     contract { callsInPlace(block, InvocationKind.EXACTLY_ONCE) }
-    reader().apply(block).release()
+    val reader = reader()
+    val result = reader.block()
+    reader.release()
+    return result
 }
 
 /**